將Sharepoint數據保存到SQLite表中

我試圖將多個Sharepoint站點的數據保存到SQLite數據庫文件中。我可以使用Sharepoint庫訪問數據。但無法將Sharepoint列表轉換爲Pandas Dataframe &，然後寫入SQLite表。我用下面的網站的支持，這裏是我的代碼 https://pypi.python.org/pypi/sharepoint/0.4.1 Saving SharePoint list with Python 將Sharepoint數據保存到SQLite表中

一個片段，我不知道是否存在通過SharePoint列表不同的技術來循環並寫入到SQL插入。我只是對熊貓圖書館更舒服一點。當前的計劃是Sharepoint LIst - > DataFrame - > SQL。我怎麼解決這個問題？ PS：我是新來的Python和使用它僅上週:)

import pandas as pd 
# Importing Sharepoint Library 
from sharepoint import SharePointSite, basic_auth_opener 
import urllib2 
from ntlm import HTTPNtlmAuthHandler 
# Windows Credentials 
username="xxxxx" 
password='xxxxxx' 

# The sharepoint info 
server_url="https://example.com/" 
site_url=server_url+"sites/XYZ/" 
# list_name='list_name' 
# FieldName='Output Field' 


passman=urllib2.HTTPPasswordMgrWithDefaultRealm() 
passman.add_password(None,server_url,username,password) 
auth_NTLM = HTTPNtlmAuthHandler.HTTPNtlmAuthHandler(passman) 

# Create and Install the opener 
opener=urllib2.build_opener(auth_NTLM) 
urllib2.install_opener(opener) 

# Create a sharepoint object 

site=SharePointSite(site_url,opener) 
sp_list=site.lists['list_name'] 
#  print row.id,row.Column1, row.Column2 
      TestDictionary=dict({'Column1':'Column1','Column2_x0020_Field2' : 'Column2'}) 

df=pd.from_dict(TestDictionary) 
df.to_sql()

來源

2016-02-27 DilipR

更新已經開始：我用一個列表存儲SharepointList。列表創建完成後，您可以輕鬆加載到數據框中。

data=[] 
for row in sp_list.rows: 
    data.append[(Column1,Column2_x0020_Field2)] 
df=pd.DataFrame(data,columns=['Column1','Column2'])

來源

2016-02-28 19:46:51 DilipR

將Sharepoint數據保存到SQLite表中

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